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Analyze comments on a Dunkin' TikTok

Export comments on Dunkin's Ice Spice Munchkins Drink TikTok with text, likes, reply count and commenter, to measure customer sentiment on a brand launch.

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TikTok Comments Scraper (Text, Likes, Replies, Users)
TikTok Comments Scraper (Text, Likes, Replies, Users)juliob.rangel/tiktok-comments-scraper-fast
username
text
likes
replyCount
+5 fields
Text
Number
Boolean
List
Object

Input

Videos(required):https://www.tiktok.com/@dunkin/video/7278143738533399854
Max comments per video:30

Output fields

username
text
likes
replyCount
createdAt
isReply
pinnedByAuthor
language
videoUrl

How it works

Sign up on Apify or log in

The TikTok Comments Scraper (Text, Likes, Replies, Users) Actor is ready to run with the inputs already set for "Analyze comments on a Dunkin' TikTok". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Analyze comments on a Dunkin' TikTok" task

The TikTok Comments Scraper (Text, Likes, Replies, Users) Actor will start running based on the input automatically. You can also change all the input fields, like videos and max comments per video, to match your specific use case.

Receive the "Analyze comments on a Dunkin' TikTok" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as username, text, likes, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Analyze comments on a Dunkin' TikTok" task via API.

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